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Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation.

, , , , and . NAACL-HLT (Industry Papers), page 105-112. Association for Computational Linguistics, (2021)

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Finding Sparse Structure for Domain Specific Neural Machine Translation., , , , and . CoRR, (2020)Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation., , , , and . NAACL-HLT (Industry Papers), page 105-112. Association for Computational Linguistics, (2021)NeurST: Neural Speech Translation Toolkit., , , , and . ACL (demo), page 55-62. Association for Computational Linguistics, (2021)Finding Sparse Structures for Domain Specific Neural Machine Translation., , , , and . AAAI, page 13333-13342. AAAI Press, (2021)BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training., , , , , and . ACL (1), page 5428-5443. Association for Computational Linguistics, (2023)Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation., , , , , and . IJCAI, page 2817-2823. IJCAI/AAAI Press, (2016)Improving Speech Translation by Fusing Speech and Text., , , , , and . EMNLP (Findings), page 6262-6273. Association for Computational Linguistics, (2023)Secoco: Self-Correcting Encoding for Neural Machine Translation., , , , , and . EMNLP (Findings), page 4639-4644. Association for Computational Linguistics, (2021)Rethinking Document-level Neural Machine Translation., , , , , , and . ACL (Findings), page 3537-3548. Association for Computational Linguistics, (2022)Counter-Interference Adapter for Multilingual Machine Translation., , , , and . EMNLP (Findings), page 2812-2823. Association for Computational Linguistics, (2021)